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Federal Territories in the Territorial Structure of Russia: Issues of Constitutional Institutionalization

2025· article· W7165936541 on OpenAlexaboutno aff
Andrey A. Kondrashev

Bibliographic record

VenueConstitutional and municipal law · 2025
Typearticle
Language
FieldSocial Sciences
TopicLegal and Policy Issues
Canadian institutionsnot available
Fundersnot available
KeywordsAnnexationConstitutionState (computer science)Federal stateFederal lawFederalism

Abstract

fetched live from OpenAlex

The article is devoted to the study of the place of federal territories in the territorial structure of Russia. The author, analyzing the history of the emergence of federal territories in the Constitution of Russia, and conducting a comparative analysis with the creation of federal territories in leading foreign federations, comes to the conclusion that the goals of creating FT «Sirius» do not correspond to world practice. Such goals, as a rule, are the establishment of governance features in connection with the need to take into account the culture of the natives (Canada), the difficulties of managing remote islands in order to preserve their ecology (Australia, Venezuela), historical features of the annexation of territories and geostrategic goals in relation to island territories (USA, Malaysia, Brazil), and colonial features of the territories (India). The article notes that there is no expressed need to create federal territories in Russia, and the transformation of the Sirius educational center into a federal territory is in no way connected with solving important state tasks. Despite this, the author believes that it is possible to form federal territories in Russia after revising the Constitution and supplementing Article 5 and Article 67 with the corresponding amendments and adopting a general (framework) federal law on the status of federal territories, taking into account the will of residents and the consent of the authorities of the subject where the creation of a federal territory is proposed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.815
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.032
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.334
Teacher spread0.312 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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